Everstar

Founding Fullstack Engineer

Everstar
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9 months ago
New York, NY, USAMid Level / Senior

Responsibilities

  • Build user-facing features that translate nuclear regulatory workflows into intuitive interfaces.
  • Own features end-to-end, including database design, API contracts, frontend interactions, query optimization, and production debugging.
  • Define standards for code quality, design systems, testing, and product development processes.
  • Collaborate with nuclear subject-matter experts and AI engineers to understand requirements and integrate model output.
  • Make conscious tradeoffs between speed and product quality while communicating decisions clearly.
  • Mentor engineers as the team scales and establish patterns through hands-on execution.
  • Ship major features, improve performance and reliability, reduce customer-reported bugs, and own critical systems such as search, document viewing, compliance workflows, or core infrastructure.

Requirements

  • 3–8 years of experience building production web applications with fullstack ownership.
  • Expert-level TypeScript and React skills with a strong understanding of modern frontend patterns and UI/UX details.
  • Solid backend fundamentals across APIs, databases, authentication, backend architecture, performance debugging, and scalable system design.
  • Product sense focused on business outcomes and how users will use the product.
  • Experience leading projects, making technical decisions, and owning outcomes.
  • Experience with technical SaaS or regulated industries, strong design taste, or the ability to mock up flows in Figma is beneficial.
  • Nuclear industry experience is not required.

Benefits

  • Top-of-market base salary and meaningful equity
  • Health, dental, vision, FSA, and wellness stipend
  • Five days per week on-site in Midtown/Bryant Park, New York City
  • Occasional travel to nuclear power plants and conferences
Everstar

About Everstar

51-200 employees

Everstar builds AI software for nuclear energy developers and operators to streamline licensing, compliance, and deployment. Its products apply language models and domain-trained reasoning to turn technical and regulatory documentation into actionable intelligence, and extend into sensor integration, computer vision, and robotics-assisted manufacturing. Founded in 2024 and headquartered in New York City, the company is privately held.

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